Machine Learning Engineer Graduate (TikTok Content Ecology) - 2027 Start (PhD)

TikTok
San Jose
Full timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration"]

Join the Content Ecology team to build AI-powered platform capabilities that improve how content is created, understood, discovered, and governed across TikTok. Work on the full lifecycle of models and agents: standardized data-to-deployment pipelines, observability and evaluation for reliability and cost efficiency, and core infrastructure like registries, feature stores, and high-throughput retrieval/RAG systems. Develop advanced agentic AI systems covering planning, tool use, and memory.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
14 hours ago

Machine Learning Engineer Graduate (TikTok Content Ecology) - 2027 Start (PhD)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Join the Content Ecology team to build AI-powered platform capabilities that improve how content is created, understood, discovered, and governed across TikTok. Work on the full lifecycle of models and agents: standardized data-to-deployment pipelines, observability and evaluation for reliability and cost efficiency, and core infrastructure like registries, feature stores, and high-throughput retrieval/RAG systems. Develop advanced agentic AI systems covering planning, tool use, and memory.
Location: San Jose
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Architect and build standardized, configurable, and reusable pipelines for the full lifecycle of models and agents, from data processing and training to deployment, monitoring, and governance.
  • •Partner with algorithm teams to understand their needs and deliver an infrastructure platform that accelerates their research and development cycles.
  • •Build observability and evaluation frameworks to ensure reproducibility, reliability, and cost-efficiency of AI workloads at scale.
  • •Design and implement core platform infrastructure, including model/agent registries, feature stores, and high-throughput retrieval/RAG systems.
  • •Design, build, and optimize advanced agentic AI systems, focusing on planning, tool use, and memory.

Key Requirements

  • •Completing or having recently completed a PhD in computer science, computer engineering, electrical engineering, applied mathematics, or a related discipline.
  • •Programming and algorithmic skills, with proficiency in languages such as Python or C++.
  • •Deep understanding of at least one area such as NLP, CV, LLM/MLLM, Search, or Agentic AI.
  • •Experience with one or more ML frameworks such as TensorFlow or PyTorch.
  • •Good communication and collaboration skills when working with others.
Education:PhD / Doctorate
Skills:CommunicationCollaboration
Tech Stack:PythonC++TensorFlowPyTorchLarge language models (LLMs)Multimodal learningMultimodal language modelsAgentic AINLPComputer vision (CV)SearchRetrievalRAGFeature stores

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn